Pandas Profiling Report

Dataset statistics

Number of variables	34
Number of observations	720
Missing cells	1433
Missing cells (%)	5.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	191.4 KiB
Average record size in memory	272.2 B

Variable types

Numeric	7
Categorical	27

Warnings

`Corporate Sales Volume Actual` has constant value "$0"	Constant
`Address` has a high cardinality: 720 distinct values	High cardinality
`City` has a high cardinality: 314 distinct values	High cardinality
`Neighborhood` has a high cardinality: 347 distinct values	High cardinality
`Location Sales Volume Actual` has a high cardinality: 342 distinct values	High cardinality
`Year Established` is highly correlated with `Years In Database`	High correlation
`Years In Database` is highly correlated with `Year Established`	High correlation
`Utilities Expenses` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`Location Sales Volume Range` is highly correlated with `Corporate Sales Volume Actual` and 2 other fields	High correlation
`Metro Area` is highly correlated with `Corporate Sales Volume Actual` and 2 other fields	High correlation
`Contract Labor Expenses` is highly correlated with `Insurance Expenses` and 2 other fields	High correlation
`Management/Administration Expenses` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`Insurance Expenses` is highly correlated with `Contract Labor Expenses` and 4 other fields	High correlation
`Rent Expenses` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`Computer Expenses` is highly correlated with `Contract Labor Expenses` and 4 other fields	High correlation
`Advertising Expenses` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`Payroll and Benefits Expenses` is highly correlated with `Corporate Sales Volume Actual` and 3 other fields	High correlation
`Location Employee Size Range` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`Corporate Sales Volume Actual` is highly correlated with `Utilities Expenses` and 21 other fields	High correlation
`County` is highly correlated with `Metro Area` and 2 other fields	High correlation
`Accounting Expenses` is highly correlated with `Payroll and Benefits Expenses` and 1 other fields	High correlation
`Purchase Print Expenses` is highly correlated with `Location Sales Volume Range` and 2 other fields	High correlation
`Company Name` is highly correlated with `Corporate Sales Volume Actual` and 1 other fields	High correlation
`Legal Expenses` is highly correlated with `Insurance Expenses` and 4 other fields	High correlation
`Package Container Expense` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`Office Supplies Expense` is highly correlated with `Location Sales Volume Range` and 3 other fields	High correlation
`Telcom Expenses` is highly correlated with `Insurance Expenses` and 4 other fields	High correlation
`Square Footage` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`State` is highly correlated with `Metro Area` and 2 other fields	High correlation
`Own or Lease` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`Neighborhood` has 294 (40.8%) missing values	Missing
`ZIP Four` has 45 (6.2%) missing values	Missing
`Year Established` has 700 (97.2%) missing values	Missing
`Own or Lease` has 375 (52.1%) missing values	Missing
`Last Updated On` is highly skewed (γ1 = -25.74226424)	Skewed
`df_index` is uniformly distributed	Uniform
`Address` is uniformly distributed	Uniform
`Neighborhood` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`Address` has unique values	Unique

Reproduction

Analysis started	2021-01-21 00:51:01.995104
Analysis finished	2021-01-21 00:51:28.433187
Duration	26.44 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

df_index
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	720
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	360.9861111
Minimum	0
Maximum	723
Zeros	1
Zeros (%)	0.1%
Memory size	5.8 KiB

Quantile statistics

Minimum	0
5-th percentile	35.95
Q1	179.75
median	359.5
Q3	542.25
95-th percentile	687.05
Maximum	723
Range	723
Interquartile range (IQR)	362.5

Descriptive statistics

Standard deviation	209.4338214
Coefficient of variation (CV)	0.5801714108
Kurtosis	-1.205064442
Mean	360.9861111
Median Absolute Deviation (MAD)	181.5
Skewness	0.003660644368
Sum	259910
Variance	43862.52554
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
723	1	0.1%
246	1	0.1%
244	1	0.1%
243	1	0.1%
242	1	0.1%
241	1	0.1%
240	1	0.1%
239	1	0.1%
238	1	0.1%
237	1	0.1%
Other values (710)	710	98.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%

Value	Count	Frequency (%)
723	1	0.1%
722	1	0.1%
721	1	0.1%
720	1	0.1%
719	1	0.1%

Advertising Expenses
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	1
Missing (%)	0.1%
Memory size	5.8 KiB

$50,000 to $100,000	469
$20,000 to $50,000	190
$100,000 to $250,000	45
$10,000 to $20,000	8
$5,000 to $10,000	7

Length

Max length	20
Median length	19
Mean length	18.76773296
Min length	17

Characters and Unicode

Total characters	13494
Distinct characters	9
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$20,000 to $50,000
2nd row	$50,000 to $100,000
3rd row	$50,000 to $100,000
4th row	$50,000 to $100,000
5th row	$50,000 to $100,000

Value	Count	Frequency (%)
$50,000 to $100,000	469	65.1%
$20,000 to $50,000	190	26.4%
$100,000 to $250,000	45	6.2%
$10,000 to $20,000	8	1.1%
$5,000 to $10,000	7	1.0%
(Missing)	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	719	33.3%
50,000	659	30.6%
100,000	514	23.8%
20,000	198	9.2%
250,000	45	2.1%
10,000	15	0.7%
5,000	7	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	6259	46.4%
$	1438	10.7%
,	1438	10.7%
	1438	10.7%
t	719	5.3%
o	719	5.3%
5	711	5.3%
1	529	3.9%
2	243	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7742	57.4%
Currency Symbol	1438	10.7%
Other Punctuation	1438	10.7%
Space Separator	1438	10.7%
Lowercase Letter	1438	10.7%

Most frequent character per category

Value	Count	Frequency (%)
0	6259	80.8%
5	711	9.2%
1	529	6.8%
2	243	3.1%

Value	Count	Frequency (%)
t	719	50.0%
o	719	50.0%

Value	Count	Frequency (%)
$	1438	100.0%

Value	Count	Frequency (%)
,	1438	100.0%

Value	Count	Frequency (%)
	1438	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12056	89.3%
Latin	1438	10.7%

Most frequent character per script

Value	Count	Frequency (%)
0	6259	51.9%
$	1438	11.9%
,	1438	11.9%
	1438	11.9%
5	711	5.9%
1	529	4.4%
2	243	2.0%

Value	Count	Frequency (%)
t	719	50.0%
o	719	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13494	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	6259	46.4%
$	1438	10.7%
,	1438	10.7%
	1438	10.7%
t	719	5.3%
o	719	5.3%
5	711	5.3%
1	529	3.9%
2	243	1.8%

Accounting Expenses
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	2
Missing (%)	0.3%
Memory size	5.8 KiB

$5,000 to $10,000	486
$2,500 to $5,000	128
$10,000 to $25,000	88
$1,000 to $2,500	10
$500 to $1,000	6

Length

Max length	18
Median length	17
Mean length	16.90529248
Min length	14

Characters and Unicode

Total characters	12138
Distinct characters	9
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$2,500 to $5,000
2nd row	$5,000 to $10,000
3rd row	$5,000 to $10,000
4th row	$5,000 to $10,000
5th row	$5,000 to $10,000

Value	Count	Frequency (%)
$5,000 to $10,000	486	67.5%
$2,500 to $5,000	128	17.8%
$10,000 to $25,000	88	12.2%
$1,000 to $2,500	10	1.4%
$500 to $1,000	6	0.8%
(Missing)	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	718	33.3%
5,000	614	28.5%
10,000	574	26.6%
2,500	138	6.4%
25,000	88	4.1%
1,000	16	0.7%
500	6	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	4738	39.0%
$	1436	11.8%
	1436	11.8%
,	1430	11.8%
5	846	7.0%
t	718	5.9%
o	718	5.9%
1	590	4.9%
2	226	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6400	52.7%
Currency Symbol	1436	11.8%
Space Separator	1436	11.8%
Lowercase Letter	1436	11.8%
Other Punctuation	1430	11.8%

Most frequent character per category

Value	Count	Frequency (%)
0	4738	74.0%
5	846	13.2%
1	590	9.2%
2	226	3.5%

Value	Count	Frequency (%)
t	718	50.0%
o	718	50.0%

Value	Count	Frequency (%)
$	1436	100.0%

Value	Count	Frequency (%)
,	1430	100.0%

Value	Count	Frequency (%)
	1436	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10702	88.2%
Latin	1436	11.8%

Most frequent character per script

Value	Count	Frequency (%)
0	4738	44.3%
$	1436	13.4%
	1436	13.4%
,	1430	13.4%
5	846	7.9%
1	590	5.5%
2	226	2.1%

Value	Count	Frequency (%)
t	718	50.0%
o	718	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12138	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	4738	39.0%
$	1436	11.8%
	1436	11.8%
,	1430	11.8%
5	846	7.0%
t	718	5.9%
o	718	5.9%
1	590	4.9%
2	226	1.9%

Address
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	720
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

340 Route 25a	1
490 8th Ave	1
9180 Wiles Rd	1
101 E 170th St	1
621 Broadway	1
Other values (715)	715

Length

Max length	30
Median length	16
Mean length	16.525
Min length	7

Characters and Unicode

Total characters	11898
Distinct characters	65
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	720 ?
Unique (%)	100.0%

Sample

1st row	265 W Oakland Park Blvd
2nd row	326 Indian Trce
3rd row	1020 Weston Rd
4th row	9835 Okeechobee Blvd
5th row	828 S Military Trl

Value	Count	Frequency (%)
340 Route 25a	1	0.1%
490 8th Ave	1	0.1%
9180 Wiles Rd	1	0.1%
101 E 170th St	1	0.1%
621 Broadway	1	0.1%
16601 Baisley Blvd	1	0.1%
915 18th Ave	1	0.1%
334 Montauk Hwy	1	0.1%
753 Saint George Ave	1	0.1%
485 Broadway	1	0.1%
Other values (710)	710	98.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
ave	184	7.0%
st	134	5.1%
rd	84	3.2%
blvd	77	3.0%
w	68	2.6%
s	44	1.7%
route	41	1.6%
hwy	36	1.4%
state	35	1.3%
	34	1.3%
Other values (1067)	1873	71.8%

Most occurring characters

Value	Count	Frequency (%)
	1890	15.9%
e	665	5.6%
t	578	4.9%
1	577	4.8%
a	473	4.0%
0	428	3.6%
r	354	3.0%
d	340	2.9%
2	325	2.7%
n	325	2.7%
Other values (55)	5943	49.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5184	43.6%
Decimal Number	3064	25.8%
Space Separator	1890	15.9%
Uppercase Letter	1713	14.4%
Other Punctuation	35	0.3%
Dash Punctuation	12	0.1%

Most frequent character per category

Value	Count	Frequency (%)
S	324	18.9%
A	216	12.6%
R	160	9.3%
W	157	9.2%
B	143	8.3%
H	99	5.8%
N	98	5.7%
M	68	4.0%
C	57	3.3%
P	53	3.1%
Other values (16)	338	19.7%

Value	Count	Frequency (%)
e	665	12.8%
t	578	11.1%
a	473	9.1%
r	354	6.8%
d	340	6.6%
n	325	6.3%
o	311	6.0%
l	300	5.8%
i	298	5.7%
v	287	5.5%
Other values (15)	1253	24.2%

Value	Count	Frequency (%)
1	577	18.8%
0	428	14.0%
2	325	10.6%
5	311	10.2%
3	308	10.1%
4	254	8.3%
6	235	7.7%
7	218	7.1%
8	216	7.0%
9	192	6.3%

Value	Count	Frequency (%)
#	32	91.4%
&	3	8.6%

Value	Count	Frequency (%)
	1890	100.0%

Value	Count	Frequency (%)
-	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6897	58.0%
Common	5001	42.0%

Most frequent character per script

Value	Count	Frequency (%)
e	665	9.6%
t	578	8.4%
a	473	6.9%
r	354	5.1%
d	340	4.9%
n	325	4.7%
S	324	4.7%
o	311	4.5%
l	300	4.3%
i	298	4.3%
Other values (41)	2929	42.5%

Value	Count	Frequency (%)
	1890	37.8%
1	577	11.5%
0	428	8.6%
2	325	6.5%
5	311	6.2%
3	308	6.2%
4	254	5.1%
6	235	4.7%
7	218	4.4%
8	216	4.3%
Other values (4)	239	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11898	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	1890	15.9%
e	665	5.6%
t	578	4.9%
1	577	4.8%
a	473	4.0%
0	428	3.6%
r	354	3.0%
d	340	2.9%
2	325	2.7%
n	325	2.7%
Other values (55)	5943	49.9%

City
Categorical

HIGH CARDINALITY

Distinct	314
Distinct (%)	43.6%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

New York	52
Brooklyn	50
Miami	49
Bronx	38
Hialeah	16
Other values (309)	515

Length

Max length	22
Median length	8
Mean length	9.240277778
Min length	5

Characters and Unicode

Total characters	6653
Distinct characters	50
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	223 ?
Unique (%)	31.0%

Sample

1st row	Wilton Manors
2nd row	Weston
3rd row	Weston
4th row	West Palm Beach
5th row	West Palm Beach

Value	Count	Frequency (%)
New York	52	7.2%
Brooklyn	50	6.9%
Miami	49	6.8%
Bronx	38	5.3%
Hialeah	16	2.2%
Fort Lauderdale	13	1.8%
West Palm Beach	11	1.5%
Newark	10	1.4%
Jamaica	10	1.4%
Jersey City	9	1.2%
Other values (304)	462	64.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
miami	64	6.1%
new	59	5.6%
york	53	5.1%
brooklyn	50	4.8%
beach	48	4.6%
bronx	38	3.6%
city	20	1.9%
west	18	1.7%
palm	17	1.6%
north	16	1.5%
Other values (322)	664	63.4%

Most occurring characters

Value	Count	Frequency (%)
a	603	9.1%
e	575	8.6%
o	545	8.2%
r	475	7.1%
i	402	6.0%
n	394	5.9%
l	346	5.2%
	327	4.9%
t	280	4.2%
s	218	3.3%
Other values (40)	2488	37.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5279	79.3%
Uppercase Letter	1047	15.7%
Space Separator	327	4.9%

Most frequent character per category

Value	Count	Frequency (%)
a	603	11.4%
e	575	10.9%
o	545	10.3%
r	475	9.0%
i	402	7.6%
n	394	7.5%
l	346	6.6%
t	280	5.3%
s	218	4.1%
k	198	3.8%
Other values (15)	1243	23.5%

Value	Count	Frequency (%)
B	193	18.4%
M	100	9.6%
N	94	9.0%
P	79	7.5%
H	67	6.4%
C	60	5.7%
Y	58	5.5%
S	54	5.2%
L	53	5.1%
R	43	4.1%
Other values (14)	246	23.5%

Value	Count	Frequency (%)
	327	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6326	95.1%
Common	327	4.9%

Most frequent character per script

Value	Count	Frequency (%)
a	603	9.5%
e	575	9.1%
o	545	8.6%
r	475	7.5%
i	402	6.4%
n	394	6.2%
l	346	5.5%
t	280	4.4%
s	218	3.4%
k	198	3.1%
Other values (39)	2290	36.2%

Value	Count	Frequency (%)
	327	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6653	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	603	9.1%
e	575	8.6%
o	545	8.2%
r	475	7.1%
i	402	6.0%
n	394	5.9%
l	346	5.2%
	327	4.9%
t	280	4.2%
s	218	3.3%
Other values (40)	2488	37.4%

State
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

NY	305
FL	236
NJ	177
PA	2

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	1440
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FL
2nd row	FL
3rd row	FL
4th row	FL
5th row	FL

Value	Count	Frequency (%)
NY	305	42.4%
FL	236	32.8%
NJ	177	24.6%
PA	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
ny	305	42.4%
fl	236	32.8%
nj	177	24.6%
pa	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
N	482	33.5%
Y	305	21.2%
F	236	16.4%
L	236	16.4%
J	177	12.3%
P	2	0.1%
A	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1440	100.0%

Most frequent character per category

Value	Count	Frequency (%)
N	482	33.5%
Y	305	21.2%
F	236	16.4%
L	236	16.4%
J	177	12.3%
P	2	0.1%
A	2	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1440	100.0%

Most frequent character per script

Value	Count	Frequency (%)
N	482	33.5%
Y	305	21.2%
F	236	16.4%
L	236	16.4%
J	177	12.3%
P	2	0.1%
A	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1440	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	482	33.5%
Y	305	21.2%
F	236	16.4%
L	236	16.4%
J	177	12.3%
P	2	0.1%
A	2	0.1%

County
Categorical

HIGH CORRELATION

Distinct	26
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

Miami Dade	104
Broward	80
New York	52
Palm Beach	52
Kings	50
Other values (21)	382

Length

Max length	11
Median length	7
Mean length	7.366666667
Min length	4

Characters and Unicode

Total characters	5304
Distinct characters	35
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Broward
2nd row	Broward
3rd row	Broward
4th row	Palm Beach
5th row	Palm Beach

Value	Count	Frequency (%)
Miami Dade	104	14.4%
Broward	80	11.1%
New York	52	7.2%
Palm Beach	52	7.2%
Kings	50	6.9%
Queens	47	6.5%
Suffolk	46	6.4%
Bronx	38	5.3%
Nassau	35	4.9%
Middlesex	23	3.2%
Other values (16)	193	26.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
dade	104	11.2%
miami	104	11.2%
broward	80	8.6%
new	52	5.6%
palm	52	5.6%
york	52	5.6%
beach	52	5.6%
kings	50	5.4%
queens	47	5.1%
suffolk	46	5.0%
Other values (19)	289	31.1%

Most occurring characters

Value	Count	Frequency (%)
a	510	9.6%
e	508	9.6%
s	338	6.4%
o	335	6.3%
r	334	6.3%
i	334	6.3%
n	269	5.1%
d	264	5.0%
	208	3.9%
m	195	3.7%
Other values (25)	2009	37.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4168	78.6%
Uppercase Letter	928	17.5%
Space Separator	208	3.9%

Most frequent character per category

Value	Count	Frequency (%)
a	510	12.2%
e	508	12.2%
s	338	8.1%
o	335	8.0%
r	334	8.0%
i	334	8.0%
n	269	6.5%
d	264	6.3%
m	195	4.7%
u	177	4.2%
Other values (9)	904	21.7%

Value	Count	Frequency (%)
B	189	20.4%
M	166	17.9%
D	104	11.2%
N	87	9.4%
P	67	7.2%
S	57	6.1%
Y	52	5.6%
K	50	5.4%
Q	47	5.1%
H	20	2.2%
Other values (5)	89	9.6%

Value	Count	Frequency (%)
	208	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5096	96.1%
Common	208	3.9%

Most frequent character per script

Value	Count	Frequency (%)
a	510	10.0%
e	508	10.0%
s	338	6.6%
o	335	6.6%
r	334	6.6%
i	334	6.6%
n	269	5.3%
d	264	5.2%
m	195	3.8%
B	189	3.7%
Other values (24)	1820	35.7%

Value	Count	Frequency (%)
	208	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5304	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	510	9.6%
e	508	9.6%
s	338	6.4%
o	335	6.3%
r	334	6.3%
i	334	6.3%
n	269	5.1%
d	264	5.0%
	208	3.9%
m	195	3.7%
Other values (25)	2009	37.9%

Metro Area
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

Nw Yrk, NY-NJ-PA	484
Miami-Ft Ldr, FL	236

Length

Max length	16
Median length	16
Mean length	16
Min length	16

Characters and Unicode

Total characters	11520
Distinct characters	19
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Miami-Ft Ldr, FL
2nd row	Miami-Ft Ldr, FL
3rd row	Miami-Ft Ldr, FL
4th row	Miami-Ft Ldr, FL
5th row	Miami-Ft Ldr, FL

Value	Count	Frequency (%)
Nw Yrk, NY-NJ-PA	484	67.2%
Miami-Ft Ldr, FL	236	32.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
ny-nj-pa	484	22.4%
yrk	484	22.4%
nw	484	22.4%
ldr	236	10.9%
fl	236	10.9%
miami-ft	236	10.9%

Most occurring characters

Value	Count	Frequency (%)
N	1452	12.6%
	1440	12.5%
-	1204	10.5%
Y	968	8.4%
r	720	6.2%
,	720	6.2%
w	484	4.2%
k	484	4.2%
J	484	4.2%
P	484	4.2%
Other values (9)	3080	26.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	5052	43.9%
Lowercase Letter	3104	26.9%
Space Separator	1440	12.5%
Dash Punctuation	1204	10.5%
Other Punctuation	720	6.2%

Most frequent character per category

Value	Count	Frequency (%)
N	1452	28.7%
Y	968	19.2%
J	484	9.6%
P	484	9.6%
A	484	9.6%
F	472	9.3%
L	472	9.3%
M	236	4.7%

Value	Count	Frequency (%)
r	720	23.2%
w	484	15.6%
k	484	15.6%
i	472	15.2%
a	236	7.6%
m	236	7.6%
t	236	7.6%
d	236	7.6%

Value	Count	Frequency (%)
-	1204	100.0%

Value	Count	Frequency (%)
	1440	100.0%

Value	Count	Frequency (%)
,	720	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8156	70.8%
Common	3364	29.2%

Most frequent character per script

Value	Count	Frequency (%)
N	1452	17.8%
Y	968	11.9%
r	720	8.8%
w	484	5.9%
k	484	5.9%
J	484	5.9%
P	484	5.9%
A	484	5.9%
i	472	5.8%
F	472	5.8%
Other values (6)	1652	20.3%

Value	Count	Frequency (%)
	1440	42.8%
-	1204	35.8%
,	720	21.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11520	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	1452	12.6%
	1440	12.5%
-	1204	10.5%
Y	968	8.4%
r	720	6.2%
,	720	6.2%
w	484	4.2%
k	484	4.2%
J	484	4.2%
P	484	4.2%
Other values (9)	3080	26.7%

Neighborhood
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	347
Distinct (%)	81.5%
Missing	294
Missing (%)	40.8%
Memory size	5.8 KiB

Theater District	5
Garment District	4
Midtown East	4
East Harlem	4
Central Harlem	4
Other values (342)	405

Length

Max length	39
Median length	12
Mean length	12.62206573
Min length	4

Characters and Unicode

Total characters	5377
Distinct characters	54
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	289 ?
Unique (%)	67.8%

Sample

1st row	Sleepy River
2nd row	Weston
3rd row	Baywinds
4th row	Golden Lakes
5th row	Shoppes At Cresthaven

Value	Count	Frequency (%)
Theater District	5	0.7%
Garment District	4	0.6%
Midtown East	4	0.6%
East Harlem	4	0.6%
Central Harlem	4	0.6%
Astoria	3	0.4%
Cutler Bay	3	0.4%
Jamaica	3	0.4%
Canarsie	3	0.4%
East New York	3	0.4%
Other values (337)	390	54.2%
(Missing)	294	40.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
east	29	3.7%
park	24	3.0%
heights	21	2.7%
west	19	2.4%
north	15	1.9%
bay	14	1.8%
district	14	1.8%
south	13	1.6%
miami	13	1.6%
center	11	1.4%
Other values (370)	615	78.0%

Most occurring characters

Value	Count	Frequency (%)
e	499	9.3%
a	427	7.9%
t	366	6.8%
r	364	6.8%
	362	6.7%
o	342	6.4%
i	320	6.0%
n	296	5.5%
s	285	5.3%
l	253	4.7%
Other values (44)	1863	34.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4206	78.2%
Uppercase Letter	794	14.8%
Space Separator	362	6.7%
Dash Punctuation	8	0.1%
Decimal Number	6	0.1%
Other Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	499	11.9%
a	427	10.2%
t	366	8.7%
r	364	8.7%
o	342	8.1%
i	320	7.6%
n	296	7.0%
s	285	6.8%
l	253	6.0%
h	146	3.5%
Other values (15)	908	21.6%

Value	Count	Frequency (%)
C	92	11.6%
S	72	9.1%
B	63	7.9%
H	61	7.7%
P	59	7.4%
W	46	5.8%
E	44	5.5%
M	43	5.4%
G	40	5.0%
F	35	4.4%
Other values (14)	239	30.1%

Value	Count	Frequency (%)
4	4	66.7%
1	2	33.3%

Value	Count	Frequency (%)
	362	100.0%

Value	Count	Frequency (%)
-	8	100.0%

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5000	93.0%
Common	377	7.0%

Most frequent character per script

Value	Count	Frequency (%)
e	499	10.0%
a	427	8.5%
t	366	7.3%
r	364	7.3%
o	342	6.8%
i	320	6.4%
n	296	5.9%
s	285	5.7%
l	253	5.1%
h	146	2.9%
Other values (39)	1702	34.0%

Value	Count	Frequency (%)
	362	96.0%
-	8	2.1%
4	4	1.1%
1	2	0.5%
.	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5377	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	499	9.3%
a	427	7.9%
t	366	6.8%
r	364	6.8%
	362	6.7%
o	342	6.4%
i	320	6.0%
n	296	5.5%
s	285	5.3%
l	253	4.7%
Other values (44)	1863	34.6%

ZIP Code
Real number (ℝ_≥0)

Distinct	505
Distinct (%)	70.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	17503.52361
Minimum	7001
Maximum	33498
Zeros	0
Zeros (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	7001
5-th percentile	7092.7
Q1	10001
median	11236
Q3	33067.25
95-th percentile	33414
Maximum	33498
Range	26497
Interquartile range (IQR)	23066.25

Descriptive statistics

Standard deviation	11076.54505
Coefficient of variation (CV)	0.6328180142
Kurtosis	-1.464297706
Mean	17503.52361
Median Absolute Deviation (MAD)	3364.5
Skewness	0.6806313806
Sum	12602537
Variance	122689850.3
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10001	5	0.7%
33012	5	0.7%
10036	4	0.6%
33126	4	0.6%
33351	4	0.6%
33015	4	0.6%
8753	4	0.6%
33157	4	0.6%
33414	4	0.6%
33411	4	0.6%
Other values (495)	678	94.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
7001	1	0.1%
7002	2	0.3%
7003	2	0.3%
7004	1	0.1%
7005	1	0.1%

Value	Count	Frequency (%)
33498	1	0.1%
33496	1	0.1%
33486	1	0.1%
33484	1	0.1%
33483	1	0.1%

ZIP Four
Real number (ℝ_≥0)

MISSING

Distinct	610
Distinct (%)	90.4%
Missing	45
Missing (%)	6.2%
Infinite	0
Infinite (%)	0.0%

Mean	3678.278519
Minimum	1001
Maximum	9847
Zeros	0
Zeros (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	1001
5-th percentile	1207.4
Q1	2109.5
median	3320
Q3	4918
95-th percentile	7200.9
Maximum	9847
Range	8846
Interquartile range (IQR)	2808.5

Descriptive statistics

Standard deviation	1901.685236
Coefficient of variation (CV)	0.5170041439
Kurtosis	0.0897877977
Mean	3678.278519
Median Absolute Deviation (MAD)	1319
Skewness	0.7539090636
Sum	2482838
Variance	3616406.738
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6002	3	0.4%
4401	3	0.4%
2101	3	0.4%
2011	3	0.4%
1302	3	0.4%
3201	3	0.4%
1906	2	0.3%
2827	2	0.3%
3157	2	0.3%
1529	2	0.3%
Other values (600)	649	90.1%
(Missing)	45	6.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1001	1	0.1%
1003	1	0.1%
1004	2	0.3%
1006	1	0.1%
1010	1	0.1%

Value	Count	Frequency (%)
9847	1	0.1%
9784	1	0.1%
9548	1	0.1%
9501	1	0.1%
9494	1	0.1%

Year Established
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	14
Distinct (%)	70.0%
Missing	700
Missing (%)	97.2%
Infinite	0
Infinite (%)	0.0%

Mean	2003.25
Minimum	1975
Maximum	2017
Zeros	0
Zeros (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	1975
5-th percentile	1988.3
Q1	1998.75
median	2003.5
Q3	2009.75
95-th percentile	2016.05
Maximum	2017
Range	42
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	10.64189833
Coefficient of variation (CV)	0.005312316649
Kurtosis	1.248570215
Mean	2003.25
Median Absolute Deviation (MAD)	5
Skewness	-0.9014156149
Sum	40065
Variance	113.25
Monotocity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
1989	2	0.3%
2003	2	0.3%
2008	2	0.3%
2015	2	0.3%
2004	2	0.3%
2016	2	0.3%
2007	1	0.1%
1998	1	0.1%
2017	1	0.1%
1999	1	0.1%
Other values (4)	4	0.6%
(Missing)	700	97.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1975	1	0.1%
1989	2	0.3%
1997	1	0.1%
1998	1	0.1%
1999	1	0.1%

Value	Count	Frequency (%)
2017	1	0.1%
2016	2	0.3%
2015	2	0.3%
2008	2	0.3%
2007	1	0.1%

Years In Database
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	37
Distinct (%)	5.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	24.53472222
Minimum	1
Maximum	37
Zeros	0
Zeros (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	1
5-th percentile	8
Q1	16
median	26
Q3	35
95-th percentile	37
Maximum	37
Range	36
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	10.0743503
Coefficient of variation (CV)	0.4106160327
Kurtosis	-1.089035403
Mean	24.53472222
Median Absolute Deviation (MAD)	10
Skewness	-0.2915507238
Sum	17665
Variance	101.492534
Monotocity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
37	152	21.1%
12	42	5.8%
28	39	5.4%
24	30	4.2%
13	28	3.9%
14	26	3.6%
36	25	3.5%
25	24	3.3%
26	24	3.3%
27	23	3.2%
Other values (27)	307	42.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	4	0.6%
2	3	0.4%
3	1	0.1%
4	5	0.7%
5	5	0.7%

Value	Count	Frequency (%)
37	152	21.1%
36	25	3.5%
35	10	1.4%
34	14	1.9%
33	8	1.1%

Company Name
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

Mc Donald's	712
Mc Donald's Corporate Office	7
Mc Donald's Bbq	1

Length

Max length	28
Median length	11
Mean length	11.17083333
Min length	11

Characters and Unicode

Total characters	8043
Distinct characters	22
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Mc Donald's
2nd row	Mc Donald's
3rd row	Mc Donald's
4th row	Mc Donald's
5th row	Mc Donald's

Value	Count	Frequency (%)
Mc Donald's	712	98.9%
Mc Donald's Corporate Office	7	1.0%
Mc Donald's Bbq	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
mc	720	49.5%
donald's	720	49.5%
corporate	7	0.5%
office	7	0.5%
bbq	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
	735	9.1%
o	734	9.1%
c	727	9.0%
a	727	9.0%
M	720	9.0%
D	720	9.0%
n	720	9.0%
l	720	9.0%
d	720	9.0%
'	720	9.0%
Other values (12)	800	9.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5133	63.8%
Uppercase Letter	1455	18.1%
Space Separator	735	9.1%
Other Punctuation	720	9.0%

Most frequent character per category

Value	Count	Frequency (%)
o	734	14.3%
c	727	14.2%
a	727	14.2%
n	720	14.0%
l	720	14.0%
d	720	14.0%
s	720	14.0%
r	14	0.3%
e	14	0.3%
f	14	0.3%
Other values (5)	23	0.4%

Value	Count	Frequency (%)
M	720	49.5%
D	720	49.5%
C	7	0.5%
O	7	0.5%
B	1	0.1%

Value	Count	Frequency (%)
	735	100.0%

Value	Count	Frequency (%)
'	720	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6588	81.9%
Common	1455	18.1%

Most frequent character per script

Value	Count	Frequency (%)
o	734	11.1%
c	727	11.0%
a	727	11.0%
M	720	10.9%
D	720	10.9%
n	720	10.9%
l	720	10.9%
d	720	10.9%
s	720	10.9%
r	14	0.2%
Other values (10)	66	1.0%

Value	Count	Frequency (%)
	735	50.5%
'	720	49.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8043	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	735	9.1%
o	734	9.1%
c	727	9.0%
a	727	9.0%
M	720	9.0%
D	720	9.0%
n	720	9.0%
l	720	9.0%
d	720	9.0%
'	720	9.0%
Other values (12)	800	9.9%

Computer Expenses
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	1
Missing (%)	0.1%
Memory size	5.8 KiB

$2,500 to $5,000	481
$5,000 to $10,000	136
$1,000 to $2,500	90
Less than $500	6
$500 to $1,000	6

Length

Max length	17
Median length	16
Mean length	16.15577191
Min length	14

Characters and Unicode

Total characters	11616
Distinct characters	15
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$1,000 to $2,500
2nd row	$2,500 to $5,000
3rd row	$2,500 to $5,000
4th row	$2,500 to $5,000
5th row	$2,500 to $5,000

Value	Count	Frequency (%)
$2,500 to $5,000	481	66.8%
$5,000 to $10,000	136	18.9%
$1,000 to $2,500	90	12.5%
Less than $500	6	0.8%
$500 to $1,000	6	0.8%
(Missing)	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	713	33.1%
5,000	617	28.6%
2,500	571	26.5%
10,000	136	6.3%
1,000	96	4.5%
500	12	0.6%
less	6	0.3%
than	6	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	3849	33.1%
	1438	12.4%
$	1432	12.3%
,	1420	12.2%
5	1200	10.3%
t	719	6.2%
o	713	6.1%
2	571	4.9%
1	232	2.0%
s	12	0.1%
Other values (5)	30	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5852	50.4%
Lowercase Letter	1468	12.6%
Space Separator	1438	12.4%
Currency Symbol	1432	12.3%
Other Punctuation	1420	12.2%
Uppercase Letter	6	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	719	49.0%
o	713	48.6%
s	12	0.8%
e	6	0.4%
h	6	0.4%
a	6	0.4%
n	6	0.4%

Value	Count	Frequency (%)
0	3849	65.8%
5	1200	20.5%
2	571	9.8%
1	232	4.0%

Value	Count	Frequency (%)
$	1432	100.0%

Value	Count	Frequency (%)
,	1420	100.0%

Value	Count	Frequency (%)
	1438	100.0%

Value	Count	Frequency (%)
L	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10142	87.3%
Latin	1474	12.7%

Most frequent character per script

Value	Count	Frequency (%)
t	719	48.8%
o	713	48.4%
s	12	0.8%
L	6	0.4%
e	6	0.4%
h	6	0.4%
a	6	0.4%
n	6	0.4%

Value	Count	Frequency (%)
0	3849	38.0%
	1438	14.2%
$	1432	14.1%
,	1420	14.0%
5	1200	11.8%
2	571	5.6%
1	232	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11616	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	3849	33.1%
	1438	12.4%
$	1432	12.3%
,	1420	12.2%
5	1200	10.3%
t	719	6.2%
o	713	6.1%
2	571	4.9%
1	232	2.0%
s	12	0.1%
Other values (5)	30	0.3%

Contract Labor Expenses
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.4%
Missing	1
Missing (%)	0.1%
Memory size	5.8 KiB

$1,000 to $10,000	536
$10,000 to $50,000	177
Less than $1,000	6

Length

Max length	18
Median length	17
Mean length	17.23783032
Min length	16

Characters and Unicode

Total characters	12394
Distinct characters	14
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$1,000 to $10,000
2nd row	$1,000 to $10,000
3rd row	$1,000 to $10,000
4th row	$1,000 to $10,000
5th row	$1,000 to $10,000

Value	Count	Frequency (%)
$1,000 to $10,000	536	74.4%
$10,000 to $50,000	177	24.6%
Less than $1,000	6	0.8%
(Missing)	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
10,000	713	33.1%
to	713	33.1%
1,000	542	25.1%
50,000	177	8.2%
less	6	0.3%
than	6	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	5186	41.8%
	1438	11.6%
$	1432	11.6%
,	1432	11.6%
1	1255	10.1%
t	719	5.8%
o	713	5.8%
5	177	1.4%
s	12	0.1%
L	6	< 0.1%
Other values (4)	24	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6618	53.4%
Lowercase Letter	1468	11.8%
Space Separator	1438	11.6%
Currency Symbol	1432	11.6%
Other Punctuation	1432	11.6%
Uppercase Letter	6	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	719	49.0%
o	713	48.6%
s	12	0.8%
e	6	0.4%
h	6	0.4%
a	6	0.4%
n	6	0.4%

Value	Count	Frequency (%)
0	5186	78.4%
1	1255	19.0%
5	177	2.7%

Value	Count	Frequency (%)
$	1432	100.0%

Value	Count	Frequency (%)
,	1432	100.0%

Value	Count	Frequency (%)
	1438	100.0%

Value	Count	Frequency (%)
L	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10920	88.1%
Latin	1474	11.9%

Most frequent character per script

Value	Count	Frequency (%)
t	719	48.8%
o	713	48.4%
s	12	0.8%
L	6	0.4%
e	6	0.4%
h	6	0.4%
a	6	0.4%
n	6	0.4%

Value	Count	Frequency (%)
0	5186	47.5%
	1438	13.2%
$	1432	13.1%
,	1432	13.1%
1	1255	11.5%
5	177	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12394	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	5186	41.8%
	1438	11.6%
$	1432	11.6%
,	1432	11.6%
1	1255	10.1%
t	719	5.8%
o	713	5.8%
5	177	1.4%
s	12	0.1%
L	6	< 0.1%
Other values (4)	24	0.2%

Corporate Sales Volume Actual
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

$0	720

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	1440
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$0
2nd row	$0
3rd row	$0
4th row	$0
5th row	$0

Value	Count	Frequency (%)
$0	720	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	720	100.0%

Most occurring characters

Value	Count	Frequency (%)
$	720	50.0%
0	720	50.0%

Most occurring categories

Value	Count	Frequency (%)
Currency Symbol	720	50.0%
Decimal Number	720	50.0%

Most frequent character per category

Value	Count	Frequency (%)
$	720	100.0%

Value	Count	Frequency (%)
0	720	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1440	100.0%

Most frequent character per script

Value	Count	Frequency (%)
$	720	50.0%
0	720	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1440	100.0%

Most frequent character per block

Value	Count	Frequency (%)
$	720	50.0%
0	720	50.0%

Insurance Expenses
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	1
Missing (%)	0.1%
Memory size	5.8 KiB

$25,000 to $50,000	478
$50,000 to $100,000	141
$10,000 to $25,000	88
$5,000 to $10,000	6
$2,500 to $5,000	6

Length

Max length	19
Median length	18
Mean length	18.17107093
Min length	16

Characters and Unicode

Total characters	13065
Distinct characters	9
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$10,000 to $25,000
2nd row	$25,000 to $50,000
3rd row	$25,000 to $50,000
4th row	$25,000 to $50,000
5th row	$25,000 to $50,000

Value	Count	Frequency (%)
$25,000 to $50,000	478	66.4%
$50,000 to $100,000	141	19.6%
$10,000 to $25,000	88	12.2%
$5,000 to $10,000	6	0.8%
$2,500 to $5,000	6	0.8%
(Missing)	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	719	33.3%
50,000	619	28.7%
25,000	566	26.2%
100,000	141	6.5%
10,000	94	4.4%
5,000	12	0.6%
2,500	6	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	5303	40.6%
$	1438	11.0%
,	1438	11.0%
	1438	11.0%
5	1203	9.2%
t	719	5.5%
o	719	5.5%
2	572	4.4%
1	235	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7313	56.0%
Currency Symbol	1438	11.0%
Other Punctuation	1438	11.0%
Space Separator	1438	11.0%
Lowercase Letter	1438	11.0%

Most frequent character per category

Value	Count	Frequency (%)
0	5303	72.5%
5	1203	16.5%
2	572	7.8%
1	235	3.2%

Value	Count	Frequency (%)
t	719	50.0%
o	719	50.0%

Value	Count	Frequency (%)
$	1438	100.0%

Value	Count	Frequency (%)
,	1438	100.0%

Value	Count	Frequency (%)
	1438	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11627	89.0%
Latin	1438	11.0%

Most frequent character per script

Value	Count	Frequency (%)
0	5303	45.6%
$	1438	12.4%
,	1438	12.4%
	1438	12.4%
5	1203	10.3%
2	572	4.9%
1	235	2.0%

Value	Count	Frequency (%)
t	719	50.0%
o	719	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13065	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	5303	40.6%
$	1438	11.0%
,	1438	11.0%
	1438	11.0%
5	1203	9.2%
t	719	5.5%
o	719	5.5%
2	572	4.4%
1	235	1.8%

Last Updated On
Real number (ℝ_≥0)

SKEWED

Distinct	7
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	202009.85
Minimum	201910
Maximum	202012
Zeros	0
Zeros (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	201910
5-th percentile	202010
Q1	202010
median	202010
Q3	202010
95-th percentile	202010
Maximum	202012
Range	102
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3.77934508
Coefficient of variation (CV)	1.870871683 × 10⁵
Kurtosis	680.3438892
Mean	202009.85
Median Absolute Deviation (MAD)	0
Skewness	-25.74226424
Sum	145447092
Variance	14.28344924
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
202010	674	93.6%
202011	21	2.9%
202012	11	1.5%
202006	7	1.0%
202007	5	0.7%
202002	1	0.1%
201910	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
201910	1	0.1%
202002	1	0.1%
202006	7	1.0%
202007	5	0.7%
202010	674	93.6%

Value	Count	Frequency (%)
202012	11	1.5%
202011	21	2.9%
202010	674	93.6%
202007	5	0.7%
202006	7	1.0%

Legal Expenses
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	2
Missing (%)	0.3%
Memory size	5.8 KiB

$2,500 to $5,000	485
$5,000 to $10,000	117
$1,000 to $2,500	104
Less than $500	6
$500 to $1,000	6

Length

Max length	17
Median length	16
Mean length	16.12952646
Min length	14

Characters and Unicode

Total characters	11581
Distinct characters	15
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$1,000 to $2,500
2nd row	$2,500 to $5,000
3rd row	$2,500 to $5,000
4th row	$2,500 to $5,000
5th row	$2,500 to $5,000

Value	Count	Frequency (%)
$2,500 to $5,000	485	67.4%
$5,000 to $10,000	117	16.2%
$1,000 to $2,500	104	14.4%
Less than $500	6	0.8%
$500 to $1,000	6	0.8%
(Missing)	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	712	33.1%
5,000	602	27.9%
2,500	589	27.3%
10,000	117	5.4%
1,000	110	5.1%
500	12	0.6%
less	6	0.3%
than	6	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	3806	32.9%
	1436	12.4%
$	1430	12.3%
,	1418	12.2%
5	1203	10.4%
t	718	6.2%
o	712	6.1%
2	589	5.1%
1	227	2.0%
s	12	0.1%
Other values (5)	30	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5825	50.3%
Lowercase Letter	1466	12.7%
Space Separator	1436	12.4%
Currency Symbol	1430	12.3%
Other Punctuation	1418	12.2%
Uppercase Letter	6	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	718	49.0%
o	712	48.6%
s	12	0.8%
e	6	0.4%
h	6	0.4%
a	6	0.4%
n	6	0.4%

Value	Count	Frequency (%)
0	3806	65.3%
5	1203	20.7%
2	589	10.1%
1	227	3.9%

Value	Count	Frequency (%)
$	1430	100.0%

Value	Count	Frequency (%)
,	1418	100.0%

Value	Count	Frequency (%)
	1436	100.0%

Value	Count	Frequency (%)
L	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10109	87.3%
Latin	1472	12.7%

Most frequent character per script

Value	Count	Frequency (%)
t	718	48.8%
o	712	48.4%
s	12	0.8%
L	6	0.4%
e	6	0.4%
h	6	0.4%
a	6	0.4%
n	6	0.4%

Value	Count	Frequency (%)
0	3806	37.6%
	1436	14.2%
$	1430	14.1%
,	1418	14.0%
5	1203	11.9%
2	589	5.8%
1	227	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11581	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	3806	32.9%
	1436	12.4%
$	1430	12.3%
,	1418	12.2%
5	1203	10.4%
t	718	6.2%
o	712	6.1%
2	589	5.1%
1	227	2.0%
s	12	0.1%
Other values (5)	30	0.3%

Location Employee Size Actual
Real number (ℝ_≥0)

Distinct	72
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	45.96666667
Minimum	0
Maximum	175
Zeros	1
Zeros (%)	0.1%
Memory size	5.8 KiB

Quantile statistics

Minimum	0
5-th percentile	22
Q1	37
median	45
Q3	54
95-th percentile	75
Maximum	175
Range	175
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	15.67769958
Coefficient of variation (CV)	0.341066706
Kurtosis	6.561316852
Mean	45.96666667
Median Absolute Deviation (MAD)	8.5
Skewness	0.9450867545
Sum	33096
Variance	245.7902643
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	151	21.0%
50	63	8.8%
40	44	6.1%
60	42	5.8%
30	34	4.7%
35	32	4.4%
42	22	3.1%
65	21	2.9%
55	20	2.8%
25	16	2.2%
Other values (62)	275	38.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
4	2	0.3%
5	5	0.7%
7	2	0.3%
8	1	0.1%

Value	Count	Frequency (%)
175	1	0.1%
100	2	0.3%
90	1	0.1%
86	1	0.1%
85	4	0.6%

Location Employee Size Range
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.8%
Missing	1
Missing (%)	0.1%
Memory size	5.8 KiB

20 to 49	435
50 to 99	260
10 to 19	11
5 to 9	8
100 to 249	3

Length

Max length	10
Median length	8
Mean length	7.980528512
Min length	6

Characters and Unicode

Total characters	5738
Distinct characters	9
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20 to 49
2nd row	20 to 49
3rd row	50 to 99
4th row	20 to 49
5th row	50 to 99

Value	Count	Frequency (%)
20 to 49	435	60.4%
50 to 99	260	36.1%
10 to 19	11	1.5%
5 to 9	8	1.1%
100 to 249	3	0.4%
1 to 4	2	0.3%
(Missing)	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	719	33.3%
20	435	20.2%
49	435	20.2%
50	260	12.1%
99	260	12.1%
19	11	0.5%
10	11	0.5%
9	8	0.4%
5	8	0.4%
100	3	0.1%
Other values (3)	7	0.3%

Most occurring characters

Value	Count	Frequency (%)
	1438	25.1%
9	977	17.0%
t	719	12.5%
o	719	12.5%
0	712	12.4%
4	440	7.7%
2	438	7.6%
5	268	4.7%
1	27	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2862	49.9%
Space Separator	1438	25.1%
Lowercase Letter	1438	25.1%

Most frequent character per category

Value	Count	Frequency (%)
9	977	34.1%
0	712	24.9%
4	440	15.4%
2	438	15.3%
5	268	9.4%
1	27	0.9%

Value	Count	Frequency (%)
t	719	50.0%
o	719	50.0%

Value	Count	Frequency (%)
	1438	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4300	74.9%
Latin	1438	25.1%

Most frequent character per script

Value	Count	Frequency (%)
	1438	33.4%
9	977	22.7%
0	712	16.6%
4	440	10.2%
2	438	10.2%
5	268	6.2%
1	27	0.6%

Value	Count	Frequency (%)
t	719	50.0%
o	719	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5738	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	1438	25.1%
9	977	17.0%
t	719	12.5%
o	719	12.5%
0	712	12.4%
4	440	7.7%
2	438	7.6%
5	268	4.7%
1	27	0.5%

Location Sales Volume Actual
Categorical

HIGH CARDINALITY

Distinct	342
Distinct (%)	47.5%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

$4,188,000	42
$2,337,000	21
$2,345,000	16
$3,713,000	14
$2,134,000	12
Other values (337)	615

Length

Max length	10
Median length	10
Mean length	9.930555556
Min length	2

Characters and Unicode

Total characters	7150
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	210 ?
Unique (%)	29.2%

Sample

1st row	$1,564,000
2nd row	$2,554,000
3rd row	$2,606,000
4th row	$2,372,000
5th row	$2,952,000

Value	Count	Frequency (%)
$4,188,000	42	5.8%
$2,337,000	21	2.9%
$2,345,000	16	2.2%
$3,713,000	14	1.9%
$2,134,000	12	1.7%
$2,372,000	11	1.5%
$2,606,000	11	1.5%
$2,031,000	10	1.4%
$2,091,000	9	1.2%
$2,182,000	8	1.1%
Other values (332)	566	78.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
4,188,000	42	5.8%
2,337,000	21	2.9%
2,345,000	16	2.2%
3,713,000	14	1.9%
2,134,000	12	1.7%
2,606,000	11	1.5%
2,372,000	11	1.5%
2,031,000	10	1.4%
2,091,000	9	1.2%
2,182,000	8	1.1%
Other values (332)	566	78.6%

Most occurring characters

Value	Count	Frequency (%)
0	2332	32.6%
,	1417	19.8%
$	720	10.1%
2	546	7.6%
1	413	5.8%
3	373	5.2%
8	292	4.1%
4	256	3.6%
6	223	3.1%
7	211	3.0%
Other values (2)	367	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5013	70.1%
Other Punctuation	1417	19.8%
Currency Symbol	720	10.1%

Most frequent character per category

Value	Count	Frequency (%)
0	2332	46.5%
2	546	10.9%
1	413	8.2%
3	373	7.4%
8	292	5.8%
4	256	5.1%
6	223	4.4%
7	211	4.2%
5	200	4.0%
9	167	3.3%

Value	Count	Frequency (%)
$	720	100.0%

Value	Count	Frequency (%)
,	1417	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	7150	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	2332	32.6%
,	1417	19.8%
$	720	10.1%
2	546	7.6%
1	413	5.8%
3	373	5.2%
8	292	4.1%
4	256	3.6%
6	223	3.1%
7	211	3.0%
Other values (2)	367	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7150	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	2332	32.6%
,	1417	19.8%
$	720	10.1%
2	546	7.6%
1	413	5.8%
3	373	5.2%
8	292	4.1%
4	256	3.6%
6	223	3.1%
7	211	3.0%
Other values (2)	367	5.1%

Location Sales Volume Range
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.6%
Missing	1
Missing (%)	0.1%
Memory size	5.8 KiB

$1-2.5 Million	370
$2.5-5 Million	328
$500,000-1 Million	13
Less Than $500,000	8

Length

Max length	18
Median length	14
Mean length	14.11682893
Min length	14

Characters and Unicode

Total characters	10150
Distinct characters	20
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$1-2.5 Million
2nd row	$2.5-5 Million
3rd row	$2.5-5 Million
4th row	$1-2.5 Million
5th row	$2.5-5 Million

Value	Count	Frequency (%)
$1-2.5 Million	370	51.4%
$2.5-5 Million	328	45.6%
$500,000-1 Million	13	1.8%
Less Than $500,000	8	1.1%
(Missing)	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
million	711	49.2%
1-2.5	370	25.6%
2.5-5	328	22.7%
500,000-1	13	0.9%
less	8	0.6%
than	8	0.6%
500,000	8	0.6%

Most occurring characters

Value	Count	Frequency (%)
i	1422	14.0%
l	1422	14.0%
5	1047	10.3%
	727	7.2%
$	719	7.1%
n	719	7.1%
-	711	7.0%
M	711	7.0%
o	711	7.0%
2	698	6.9%
Other values (10)	1263	12.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4314	42.5%
Decimal Number	2233	22.0%
Space Separator	727	7.2%
Uppercase Letter	727	7.2%
Currency Symbol	719	7.1%
Other Punctuation	719	7.1%
Dash Punctuation	711	7.0%

Most frequent character per category

Value	Count	Frequency (%)
i	1422	33.0%
l	1422	33.0%
n	719	16.7%
o	711	16.5%
s	16	0.4%
e	8	0.2%
h	8	0.2%
a	8	0.2%

Value	Count	Frequency (%)
5	1047	46.9%
2	698	31.3%
1	383	17.2%
0	105	4.7%

Value	Count	Frequency (%)
M	711	97.8%
L	8	1.1%
T	8	1.1%

Value	Count	Frequency (%)
.	698	97.1%
,	21	2.9%

Value	Count	Frequency (%)
$	719	100.0%

Value	Count	Frequency (%)
-	711	100.0%

Value	Count	Frequency (%)
	727	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5109	50.3%
Latin	5041	49.7%

Most frequent character per script

Value	Count	Frequency (%)
i	1422	28.2%
l	1422	28.2%
n	719	14.3%
M	711	14.1%
o	711	14.1%
s	16	0.3%
L	8	0.2%
e	8	0.2%
T	8	0.2%
h	8	0.2%

Value	Count	Frequency (%)
5	1047	20.5%
	727	14.2%
$	719	14.1%
-	711	13.9%
2	698	13.7%
.	698	13.7%
1	383	7.5%
0	105	2.1%
,	21	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10150	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	1422	14.0%
l	1422	14.0%
5	1047	10.3%
	727	7.2%
$	719	7.1%
n	719	7.1%
-	711	7.0%
M	711	7.0%
o	711	7.0%
2	698	6.9%
Other values (10)	1263	12.4%

Management/Administration Expenses
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	1
Missing (%)	0.1%
Memory size	5.8 KiB

$10,000 to $25,000	560
$25,000 to $50,000	89
$5,000 to $10,000	57
$2,500 to $5,000	7
Less than $2,500	6

Length

Max length	18
Median length	18
Mean length	17.88456189
Min length	16

Characters and Unicode

Total characters	12859
Distinct characters	15
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$10,000 to $25,000
2nd row	$10,000 to $25,000
3rd row	$10,000 to $25,000
4th row	$10,000 to $25,000
5th row	$10,000 to $25,000

Value	Count	Frequency (%)
$10,000 to $25,000	560	77.8%
$25,000 to $50,000	89	12.4%
$5,000 to $10,000	57	7.9%
$2,500 to $5,000	7	1.0%
Less than $2,500	6	0.8%
(Missing)	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	713	33.1%
25,000	649	30.1%
10,000	617	28.6%
50,000	89	4.1%
5,000	64	3.0%
2,500	13	0.6%
less	6	0.3%
than	6	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	4989	38.8%
	1438	11.2%
$	1432	11.1%
,	1432	11.1%
5	815	6.3%
t	719	5.6%
o	713	5.5%
2	662	5.1%
1	617	4.8%
s	12	0.1%
Other values (5)	30	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7083	55.1%
Lowercase Letter	1468	11.4%
Space Separator	1438	11.2%
Currency Symbol	1432	11.1%
Other Punctuation	1432	11.1%
Uppercase Letter	6	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	719	49.0%
o	713	48.6%
s	12	0.8%
e	6	0.4%
h	6	0.4%
a	6	0.4%
n	6	0.4%

Value	Count	Frequency (%)
0	4989	70.4%
5	815	11.5%
2	662	9.3%
1	617	8.7%

Value	Count	Frequency (%)
$	1432	100.0%

Value	Count	Frequency (%)
,	1432	100.0%

Value	Count	Frequency (%)
	1438	100.0%

Value	Count	Frequency (%)
L	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11385	88.5%
Latin	1474	11.5%

Most frequent character per script

Value	Count	Frequency (%)
t	719	48.8%
o	713	48.4%
s	12	0.8%
L	6	0.4%
e	6	0.4%
h	6	0.4%
a	6	0.4%
n	6	0.4%

Value	Count	Frequency (%)
0	4989	43.8%
	1438	12.6%
$	1432	12.6%
,	1432	12.6%
5	815	7.2%
2	662	5.8%
1	617	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12859	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	4989	38.8%
	1438	11.2%
$	1432	11.1%
,	1432	11.1%
5	815	6.3%
t	719	5.6%
o	713	5.5%
2	662	5.1%
1	617	4.8%
s	12	0.1%
Other values (5)	30	0.2%

Office Supplies Expense
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	1
Missing (%)	0.1%
Memory size	5.8 KiB

$20,000 to $50,000	381
$50,000 to $100,000	317
$10,000 to $20,000	13
$5,000 to $10,000	7
Less than $5,000	1

Length

Max length	19
Median length	18
Mean length	18.42837274
Min length	16

Characters and Unicode

Total characters	13250
Distinct characters	15
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	$20,000 to $50,000
2nd row	$50,000 to $100,000
3rd row	$50,000 to $100,000
4th row	$20,000 to $50,000
5th row	$50,000 to $100,000

Value	Count	Frequency (%)
$20,000 to $50,000	381	52.9%
$50,000 to $100,000	317	44.0%
$10,000 to $20,000	13	1.8%
$5,000 to $10,000	7	1.0%
Less than $5,000	1	0.1%
(Missing)	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	718	33.3%
50,000	698	32.4%
20,000	394	18.3%
100,000	317	14.7%
10,000	20	0.9%
5,000	8	0.4%
less	1	< 0.1%
than	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	6057	45.7%
	1438	10.9%
$	1437	10.8%
,	1437	10.8%
t	719	5.4%
o	718	5.4%
5	706	5.3%
2	394	3.0%
1	337	2.5%
s	2	< 0.1%
Other values (5)	5	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7494	56.6%
Lowercase Letter	1443	10.9%
Space Separator	1438	10.9%
Currency Symbol	1437	10.8%
Other Punctuation	1437	10.8%
Uppercase Letter	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	719	49.8%
o	718	49.8%
s	2	0.1%
e	1	0.1%
h	1	0.1%
a	1	0.1%
n	1	0.1%

Value	Count	Frequency (%)
0	6057	80.8%
5	706	9.4%
2	394	5.3%
1	337	4.5%

Value	Count	Frequency (%)
$	1437	100.0%

Value	Count	Frequency (%)
,	1437	100.0%

Value	Count	Frequency (%)
	1438	100.0%

Value	Count	Frequency (%)
L	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11806	89.1%
Latin	1444	10.9%

Most frequent character per script

Value	Count	Frequency (%)
t	719	49.8%
o	718	49.7%
s	2	0.1%
L	1	0.1%
e	1	0.1%
h	1	0.1%
a	1	0.1%
n	1	0.1%

Value	Count	Frequency (%)
0	6057	51.3%
	1438	12.2%
$	1437	12.2%
,	1437	12.2%
5	706	6.0%
2	394	3.3%
1	337	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13250	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	6057	45.7%
	1438	10.9%
$	1437	10.8%
,	1437	10.8%
t	719	5.4%
o	718	5.4%
5	706	5.3%
2	394	3.0%
1	337	2.5%
s	2	< 0.1%
Other values (5)	5	< 0.1%

Own or Lease
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.9%
Missing	375
Missing (%)	52.1%
Memory size	5.8 KiB

Unknown	127
Own	126
Lease	92

Length

Max length	7
Median length	5
Mean length	5.005797101
Min length	3

Characters and Unicode

Total characters	1727
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Own
2nd row	Unknown
3rd row	Own
4th row	Own
5th row	Own

Value	Count	Frequency (%)
Unknown	127	17.6%
Own	126	17.5%
Lease	92	12.8%
(Missing)	375	52.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
unknown	127	36.8%
own	126	36.5%
lease	92	26.7%

Most occurring characters

Value	Count	Frequency (%)
n	507	29.4%
w	253	14.6%
e	184	10.7%
U	127	7.4%
k	127	7.4%
o	127	7.4%
O	126	7.3%
L	92	5.3%
a	92	5.3%
s	92	5.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1382	80.0%
Uppercase Letter	345	20.0%

Most frequent character per category

Value	Count	Frequency (%)
n	507	36.7%
w	253	18.3%
e	184	13.3%
k	127	9.2%
o	127	9.2%
a	92	6.7%
s	92	6.7%

Value	Count	Frequency (%)
U	127	36.8%
O	126	36.5%
L	92	26.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1727	100.0%

Most frequent character per script

Value	Count	Frequency (%)
n	507	29.4%
w	253	14.6%
e	184	10.7%
U	127	7.4%
k	127	7.4%
o	127	7.4%
O	126	7.3%
L	92	5.3%
a	92	5.3%
s	92	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1727	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	507	29.4%
w	253	14.6%
e	184	10.7%
U	127	7.4%
k	127	7.4%
o	127	7.4%
O	126	7.3%
L	92	5.3%
a	92	5.3%
s	92	5.3%

Package Container Expense
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.6%
Missing	1
Missing (%)	0.1%
Memory size	5.8 KiB

$10,000 to $25,000	450
$25,000 to $50,000	242
$5,000 to $10,000	19
$1,000 to $5,000	8

Length

Max length	18
Median length	18
Mean length	17.95132128
Min length	16

Characters and Unicode

Total characters	12907
Distinct characters	9
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$10,000 to $25,000
2nd row	$10,000 to $25,000
3rd row	$10,000 to $25,000
4th row	$10,000 to $25,000
5th row	$25,000 to $50,000

Value	Count	Frequency (%)
$10,000 to $25,000	450	62.5%
$25,000 to $50,000	242	33.6%
$5,000 to $10,000	19	2.6%
$1,000 to $5,000	8	1.1%
(Missing)	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	719	33.3%
25,000	692	32.1%
10,000	469	21.7%
50,000	242	11.2%
5,000	27	1.3%
1,000	8	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	5025	38.9%
$	1438	11.1%
,	1438	11.1%
	1438	11.1%
5	961	7.4%
t	719	5.6%
o	719	5.6%
2	692	5.4%
1	477	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7155	55.4%
Currency Symbol	1438	11.1%
Other Punctuation	1438	11.1%
Space Separator	1438	11.1%
Lowercase Letter	1438	11.1%

Most frequent character per category

Value	Count	Frequency (%)
0	5025	70.2%
5	961	13.4%
2	692	9.7%
1	477	6.7%

Value	Count	Frequency (%)
t	719	50.0%
o	719	50.0%

Value	Count	Frequency (%)
$	1438	100.0%

Value	Count	Frequency (%)
,	1438	100.0%

Value	Count	Frequency (%)
	1438	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11469	88.9%
Latin	1438	11.1%

Most frequent character per script

Value	Count	Frequency (%)
0	5025	43.8%
$	1438	12.5%
,	1438	12.5%
	1438	12.5%
5	961	8.4%
2	692	6.0%
1	477	4.2%

Value	Count	Frequency (%)
t	719	50.0%
o	719	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12907	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	5025	38.9%
$	1438	11.1%
,	1438	11.1%
	1438	11.1%
5	961	7.4%
t	719	5.6%
o	719	5.6%
2	692	5.4%
1	477	3.7%

Payroll and Benefits Expenses
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	1
Missing (%)	0.1%
Memory size	5.8 KiB

$500,000 to $1 Million	484
$250,000 to $500,000	114
$1 to $2.5 Million	106
$100,000 to $250,000	9
Less than $100,000	6

Length

Max length	22
Median length	22
Mean length	21.03477051
Min length	18

Characters and Unicode

Total characters	15124
Distinct characters	19
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$250,000 to $500,000
2nd row	$500,000 to $1 Million
3rd row	$500,000 to $1 Million
4th row	$500,000 to $1 Million
5th row	$500,000 to $1 Million

Value	Count	Frequency (%)
$500,000 to $1 Million	484	67.2%
$250,000 to $500,000	114	15.8%
$1 to $2.5 Million	106	14.7%
$100,000 to $250,000	9	1.2%
Less than $100,000	6	0.8%
(Missing)	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	713	26.0%
500,000	598	21.8%
million	590	21.5%
1	590	21.5%
250,000	123	4.5%
2.5	106	3.9%
100,000	15	0.5%
than	6	0.2%
less	6	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	3557	23.5%
	2028	13.4%
$	1432	9.5%
o	1303	8.6%
i	1180	7.8%
l	1180	7.8%
5	827	5.5%
,	736	4.9%
t	719	4.8%
1	605	4.0%
Other values (9)	1557	10.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5218	34.5%
Lowercase Letter	5008	33.1%
Space Separator	2028	13.4%
Currency Symbol	1432	9.5%
Other Punctuation	842	5.6%
Uppercase Letter	596	3.9%

Most frequent character per category

Value	Count	Frequency (%)
o	1303	26.0%
i	1180	23.6%
l	1180	23.6%
t	719	14.4%
n	596	11.9%
s	12	0.2%
e	6	0.1%
h	6	0.1%
a	6	0.1%

Value	Count	Frequency (%)
0	3557	68.2%
5	827	15.8%
1	605	11.6%
2	229	4.4%

Value	Count	Frequency (%)
,	736	87.4%
.	106	12.6%

Value	Count	Frequency (%)
M	590	99.0%
L	6	1.0%

Value	Count	Frequency (%)
$	1432	100.0%

Value	Count	Frequency (%)
	2028	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	9520	62.9%
Latin	5604	37.1%

Most frequent character per script

Value	Count	Frequency (%)
o	1303	23.3%
i	1180	21.1%
l	1180	21.1%
t	719	12.8%
n	596	10.6%
M	590	10.5%
s	12	0.2%
L	6	0.1%
e	6	0.1%
h	6	0.1%

Value	Count	Frequency (%)
0	3557	37.4%
	2028	21.3%
$	1432	15.0%
5	827	8.7%
,	736	7.7%
1	605	6.4%
2	229	2.4%
.	106	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15124	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	3557	23.5%
	2028	13.4%
$	1432	9.5%
o	1303	8.6%
i	1180	7.8%
l	1180	7.8%
5	827	5.5%
,	736	4.9%
t	719	4.8%
1	605	4.0%
Other values (9)	1557	10.3%

Purchase Print Expenses
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.6%
Missing	2
Missing (%)	0.3%
Memory size	5.8 KiB

$1,000 to $2,500	357
$2,500 to $5,000	340
$500 to $1,000	13
Less than $500	8

Length

Max length	16
Median length	16
Mean length	15.94150418
Min length	14

Characters and Unicode

Total characters	11446
Distinct characters	15
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$1,000 to $2,500
2nd row	$2,500 to $5,000
3rd row	$2,500 to $5,000
4th row	$1,000 to $2,500
5th row	$2,500 to $5,000

Value	Count	Frequency (%)
$1,000 to $2,500	357	49.6%
$2,500 to $5,000	340	47.2%
$500 to $1,000	13	1.8%
Less than $500	8	1.1%
(Missing)	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	710	33.0%
2,500	697	32.4%
1,000	370	17.2%
5,000	340	15.8%
500	21	1.0%
less	8	0.4%
than	8	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	3566	31.2%
	1436	12.5%
$	1428	12.5%
,	1407	12.3%
5	1058	9.2%
t	718	6.3%
o	710	6.2%
2	697	6.1%
1	370	3.2%
s	16	0.1%
Other values (5)	40	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5691	49.7%
Lowercase Letter	1476	12.9%
Space Separator	1436	12.5%
Currency Symbol	1428	12.5%
Other Punctuation	1407	12.3%
Uppercase Letter	8	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	718	48.6%
o	710	48.1%
s	16	1.1%
e	8	0.5%
h	8	0.5%
a	8	0.5%
n	8	0.5%

Value	Count	Frequency (%)
0	3566	62.7%
5	1058	18.6%
2	697	12.2%
1	370	6.5%

Value	Count	Frequency (%)
$	1428	100.0%

Value	Count	Frequency (%)
,	1407	100.0%

Value	Count	Frequency (%)
	1436	100.0%

Value	Count	Frequency (%)
L	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	9962	87.0%
Latin	1484	13.0%

Most frequent character per script

Value	Count	Frequency (%)
t	718	48.4%
o	710	47.8%
s	16	1.1%
L	8	0.5%
e	8	0.5%
h	8	0.5%
a	8	0.5%
n	8	0.5%

Value	Count	Frequency (%)
0	3566	35.8%
	1436	14.4%
$	1428	14.3%
,	1407	14.1%
5	1058	10.6%
2	697	7.0%
1	370	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11446	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	3566	31.2%
	1436	12.5%
$	1428	12.5%
,	1407	12.3%
5	1058	9.2%
t	718	6.3%
o	710	6.2%
2	697	6.1%
1	370	3.2%
s	16	0.1%
Other values (5)	40	0.3%

Rent Expenses
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	1
Missing (%)	0.1%
Memory size	5.8 KiB

$10,000 to $25,000	324
$100,000 to $250,000	229
$50,000 to $100,000	58
Less than $10,000	56
$25,000 to $50,000	52

Length

Max length	20
Median length	18
Mean length	18.63977747
Min length	17

Characters and Unicode

Total characters	13402
Distinct characters	15
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$10,000 to $25,000
2nd row	$10,000 to $25,000
3rd row	$100,000 to $250,000
4th row	$10,000 to $25,000
5th row	$10,000 to $25,000

Value	Count	Frequency (%)
$10,000 to $25,000	324	45.0%
$100,000 to $250,000	229	31.8%
$50,000 to $100,000	58	8.1%
Less than $10,000	56	7.8%
$25,000 to $50,000	52	7.2%
(Missing)	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	663	30.7%
10,000	380	17.6%
25,000	376	17.4%
100,000	287	13.3%
250,000	229	10.6%
50,000	110	5.1%
less	56	2.6%
than	56	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	5439	40.6%
	1438	10.7%
$	1382	10.3%
,	1382	10.3%
t	719	5.4%
5	715	5.3%
1	667	5.0%
o	663	4.9%
2	605	4.5%
s	112	0.8%
Other values (5)	280	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7426	55.4%
Lowercase Letter	1718	12.8%
Space Separator	1438	10.7%
Currency Symbol	1382	10.3%
Other Punctuation	1382	10.3%
Uppercase Letter	56	0.4%

Most frequent character per category

Value	Count	Frequency (%)
t	719	41.9%
o	663	38.6%
s	112	6.5%
e	56	3.3%
h	56	3.3%
a	56	3.3%
n	56	3.3%

Value	Count	Frequency (%)
0	5439	73.2%
5	715	9.6%
1	667	9.0%
2	605	8.1%

Value	Count	Frequency (%)
$	1382	100.0%

Value	Count	Frequency (%)
,	1382	100.0%

Value	Count	Frequency (%)
	1438	100.0%

Value	Count	Frequency (%)
L	56	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11628	86.8%
Latin	1774	13.2%

Most frequent character per script

Value	Count	Frequency (%)
t	719	40.5%
o	663	37.4%
s	112	6.3%
L	56	3.2%
e	56	3.2%
h	56	3.2%
a	56	3.2%
n	56	3.2%

Value	Count	Frequency (%)
0	5439	46.8%
	1438	12.4%
$	1382	11.9%
,	1382	11.9%
5	715	6.1%
1	667	5.7%
2	605	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13402	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	5439	40.6%
	1438	10.7%
$	1382	10.3%
,	1382	10.3%
t	719	5.4%
5	715	5.3%
1	667	5.0%
o	663	4.9%
2	605	4.5%
s	112	0.8%
Other values (5)	280	2.1%

Square Footage
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

2,500 - 4,999	690
1 - 1,499	26
5,000 - 9,999	2
1,500 - 2,499	1
10,000 - 19,999	1

Length

Max length	15
Median length	13
Mean length	12.85833333
Min length	9

Characters and Unicode

Total characters	9258
Distinct characters	9
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	2,500 - 4,999
2nd row	2,500 - 4,999
3rd row	2,500 - 4,999
4th row	2,500 - 4,999
5th row	2,500 - 4,999

Value	Count	Frequency (%)
2,500 - 4,999	690	95.8%
1 - 1,499	26	3.6%
5,000 - 9,999	2	0.3%
1,500 - 2,499	1	0.1%
10,000 - 19,999	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
	720	33.3%
4,999	690	31.9%
2,500	690	31.9%
1,499	26	1.2%
1	26	1.2%
9,999	2	0.1%
5,000	2	0.1%
1,500	1	< 0.1%
10,000	1	< 0.1%
19,999	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
9	2136	23.1%
	1440	15.6%
,	1414	15.3%
0	1392	15.0%
-	720	7.8%
4	717	7.7%
5	693	7.5%
2	691	7.5%
1	55	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5684	61.4%
Space Separator	1440	15.6%
Other Punctuation	1414	15.3%
Dash Punctuation	720	7.8%

Most frequent character per category

Value	Count	Frequency (%)
9	2136	37.6%
0	1392	24.5%
4	717	12.6%
5	693	12.2%
2	691	12.2%
1	55	1.0%

Value	Count	Frequency (%)
,	1414	100.0%

Value	Count	Frequency (%)
	1440	100.0%

Value	Count	Frequency (%)
-	720	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	9258	100.0%

Most frequent character per script

Value	Count	Frequency (%)
9	2136	23.1%
	1440	15.6%
,	1414	15.3%
0	1392	15.0%
-	720	7.8%
4	717	7.7%
5	693	7.5%
2	691	7.5%
1	55	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9258	100.0%

Most frequent character per block

Value	Count	Frequency (%)
9	2136	23.1%
	1440	15.6%
,	1414	15.3%
0	1392	15.0%
-	720	7.8%
4	717	7.7%
5	693	7.5%
2	691	7.5%
1	55	0.6%

Telcom Expenses
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.4%
Missing	1
Missing (%)	0.1%
Memory size	5.8 KiB

$5,000 to $20,000	599
$2,000 to $5,000	108
Less than $2,000	12

Length

Max length	17
Median length	17
Mean length	16.83310153
Min length	16

Characters and Unicode

Total characters	12103
Distinct characters	14
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$2,000 to $5,000
2nd row	$5,000 to $20,000
3rd row	$5,000 to $20,000
4th row	$5,000 to $20,000
5th row	$5,000 to $20,000

Value	Count	Frequency (%)
$5,000 to $20,000	599	83.2%
$2,000 to $5,000	108	15.0%
Less than $2,000	12	1.7%
(Missing)	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	707	32.8%
5,000	707	32.8%
20,000	599	27.8%
2,000	120	5.6%
less	12	0.6%
than	12	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	4877	40.3%
	1438	11.9%
$	1426	11.8%
,	1426	11.8%
2	719	5.9%
t	719	5.9%
o	707	5.8%
5	707	5.8%
s	24	0.2%
L	12	0.1%
Other values (4)	48	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6303	52.1%
Lowercase Letter	1498	12.4%
Space Separator	1438	11.9%
Currency Symbol	1426	11.8%
Other Punctuation	1426	11.8%
Uppercase Letter	12	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	719	48.0%
o	707	47.2%
s	24	1.6%
e	12	0.8%
h	12	0.8%
a	12	0.8%
n	12	0.8%

Value	Count	Frequency (%)
0	4877	77.4%
2	719	11.4%
5	707	11.2%

Value	Count	Frequency (%)
$	1426	100.0%

Value	Count	Frequency (%)
,	1426	100.0%

Value	Count	Frequency (%)
	1438	100.0%

Value	Count	Frequency (%)
L	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10593	87.5%
Latin	1510	12.5%

Most frequent character per script

Value	Count	Frequency (%)
t	719	47.6%
o	707	46.8%
s	24	1.6%
L	12	0.8%
e	12	0.8%
h	12	0.8%
a	12	0.8%
n	12	0.8%

Value	Count	Frequency (%)
0	4877	46.0%
	1438	13.6%
$	1426	13.5%
,	1426	13.5%
2	719	6.8%
5	707	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12103	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	4877	40.3%
	1438	11.9%
$	1426	11.8%
,	1426	11.8%
2	719	5.9%
t	719	5.9%
o	707	5.8%
5	707	5.8%
s	24	0.2%
L	12	0.1%
Other values (4)	48	0.4%

Utilities Expenses
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	1.0%
Missing	1
Missing (%)	0.1%
Memory size	5.8 KiB

$2,000 to $5,000	315
$50,000 to $100,000	178
$5,000 to $10,000	61
Over $100,000	52
$25,000 to $50,000	42
Other values (2)	71

Length

Max length	19
Median length	16
Mean length	16.81641168
Min length	13

Characters and Unicode

Total characters	12091
Distinct characters	18
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$2,000 to $5,000
2nd row	$2,000 to $5,000
3rd row	$50,000 to $100,000
4th row	$2,000 to $5,000
5th row	$2,000 to $5,000

Value	Count	Frequency (%)
$2,000 to $5,000	315	43.8%
$50,000 to $100,000	178	24.7%
$5,000 to $10,000	61	8.5%
Over $100,000	52	7.2%
$25,000 to $50,000	42	5.8%
Less than $2,000	39	5.4%
$10,000 to $25,000	32	4.4%
(Missing)	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	628	29.8%
5,000	376	17.9%
2,000	354	16.8%
100,000	230	10.9%
50,000	220	10.5%
10,000	93	4.4%
25,000	74	3.5%
over	52	2.5%
less	39	1.9%
than	39	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	4814	39.8%
	1386	11.5%
$	1347	11.1%
,	1347	11.1%
5	670	5.5%
t	667	5.5%
o	628	5.2%
2	428	3.5%
1	323	2.7%
e	91	0.8%
Other values (8)	390	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6235	51.6%
Lowercase Letter	1685	13.9%
Space Separator	1386	11.5%
Currency Symbol	1347	11.1%
Other Punctuation	1347	11.1%
Uppercase Letter	91	0.8%

Most frequent character per category

Value	Count	Frequency (%)
t	667	39.6%
o	628	37.3%
e	91	5.4%
s	78	4.6%
v	52	3.1%
r	52	3.1%
h	39	2.3%
a	39	2.3%
n	39	2.3%

Value	Count	Frequency (%)
0	4814	77.2%
5	670	10.7%
2	428	6.9%
1	323	5.2%

Value	Count	Frequency (%)
O	52	57.1%
L	39	42.9%

Value	Count	Frequency (%)
$	1347	100.0%

Value	Count	Frequency (%)
,	1347	100.0%

Value	Count	Frequency (%)
	1386	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10315	85.3%
Latin	1776	14.7%

Most frequent character per script

Value	Count	Frequency (%)
t	667	37.6%
o	628	35.4%
e	91	5.1%
s	78	4.4%
O	52	2.9%
v	52	2.9%
r	52	2.9%
L	39	2.2%
h	39	2.2%
a	39	2.2%

Value	Count	Frequency (%)
0	4814	46.7%
	1386	13.4%
$	1347	13.1%
,	1347	13.1%
5	670	6.5%
2	428	4.1%
1	323	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12091	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	4814	39.8%
	1386	11.5%
$	1347	11.1%
,	1347	11.1%
5	670	5.5%
t	667	5.5%
o	628	5.2%
2	428	3.5%
1	323	2.7%
e	91	0.8%
Other values (8)	390	3.2%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	Advertising Expenses	Accounting Expenses	Address	City	State	County	Metro Area	Neighborhood	ZIP Code	ZIP Four	Year Established	Years In Database	Company Name	Computer Expenses	Contract Labor Expenses	Corporate Sales Volume Actual	Insurance Expenses	Last Updated On	Legal Expenses	Location Employee Size Actual	Location Employee Size Range	Location Sales Volume Actual	Location Sales Volume Range	Management/Administration Expenses	Office Supplies Expense	Own or Lease	Package Container Expense	Payroll and Benefits Expenses	Purchase Print Expenses	Rent Expenses	Square Footage	Telcom Expenses	Utilities Expenses
0	0	$20,000 to $50,000	$2,500 to $5,000	265 W Oakland Park Blvd	Wilton Manors	FL	Broward	Miami-Ft Ldr, FL	Sleepy River	33311	1707.0	NaN	37	Mc Donald's	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202010	$1,000 to $2,500	30	20 to 49	$1,564,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	Own	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$2,000 to $5,000	$2,000 to $5,000
1	1	$50,000 to $100,000	$5,000 to $10,000	326 Indian Trce	Weston	FL	Broward	Miami-Ft Ldr, FL	Weston	33326	2996.0	NaN	24	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	49	20 to 49	$2,554,000	$2.5-5 Million	$10,000 to $25,000	$50,000 to $100,000	Unknown	$10,000 to $25,000	$500,000 to $1 Million	$2,500 to $5,000	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
2	2	$50,000 to $100,000	$5,000 to $10,000	1020 Weston Rd	Weston	FL	Broward	Miami-Ft Ldr, FL	NaN	33326	1917.0	NaN	32	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	50	50 to 99	$2,606,000	$2.5-5 Million	$10,000 to $25,000	$50,000 to $100,000	Own	$10,000 to $25,000	$500,000 to $1 Million	$2,500 to $5,000	$100,000 to $250,000	2,500 - 4,999	$5,000 to $20,000	$50,000 to $100,000
3	3	$50,000 to $100,000	$5,000 to $10,000	9835 Okeechobee Blvd	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	Baywinds	33411	1833.0	NaN	13	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	45	20 to 49	$2,372,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
4	4	$50,000 to $100,000	$5,000 to $10,000	828 S Military Trl	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	NaN	33415	3908.0	NaN	28	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	56	50 to 99	$2,952,000	$2.5-5 Million	$10,000 to $25,000	$50,000 to $100,000	Own	$25,000 to $50,000	$500,000 to $1 Million	$2,500 to $5,000	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
5	5	$50,000 to $100,000	$5,000 to $10,000	6858 Okeechobee Blvd	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	Golden Lakes	33411	2510.0	NaN	30	Mc Donald's	$5,000 to $10,000	$10,000 to $50,000	$0	$50,000 to $100,000	202010	$5,000 to $10,000	65	50 to 99	$3,426,000	$2.5-5 Million	$10,000 to $25,000	$50,000 to $100,000	Own	$25,000 to $50,000	$500,000 to $1 Million	$2,500 to $5,000	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
6	6	$50,000 to $100,000	$5,000 to $10,000	650 Belvedere Rd	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	NaN	33405	1231.0	NaN	36	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	40	20 to 49	$2,109,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	Own	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	$100,000 to $250,000	2,500 - 4,999	$5,000 to $20,000	$50,000 to $100,000
7	7	$20,000 to $50,000	$5,000 to $10,000	4275 45th St	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	NaN	33407	1859.0	NaN	30	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	35	20 to 49	$1,845,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	Own	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
8	8	$50,000 to $100,000	$5,000 to $10,000	3015 Forest Hill Blvd	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	NaN	33406	5908.0	NaN	4	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	45	20 to 49	$2,372,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	Less than $10,000	2,500 - 4,999	$5,000 to $20,000	Less than $2,000
9	9	$50,000 to $100,000	$5,000 to $10,000	2605 S Military Trl	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	Shoppes At Cresthaven	33415	7549.0	NaN	9	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	45	20 to 49	$2,372,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	Less than $10,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000

Last rows

	df_index	Advertising Expenses	Accounting Expenses	Address	City	State	County	Metro Area	Neighborhood	ZIP Code	ZIP Four	Year Established	Years In Database	Company Name	Computer Expenses	Contract Labor Expenses	Corporate Sales Volume Actual	Insurance Expenses	Last Updated On	Legal Expenses	Location Employee Size Actual	Location Employee Size Range	Location Sales Volume Actual	Location Sales Volume Range	Management/Administration Expenses	Office Supplies Expense	Own or Lease	Package Container Expense	Payroll and Benefits Expenses	Purchase Print Expenses	Rent Expenses	Square Footage	Telcom Expenses	Utilities Expenses
710	714	$20,000 to $50,000	$2,500 to $5,000	4174 White Plains Rd	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	Wakefield	10466	3012.0	NaN	25	Mc Donald's	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202010	$1,000 to $2,500	20	20 to 49	$930,000	$500,000-1 Million	$5,000 to $10,000	$10,000 to $20,000	Own	$5,000 to $10,000	$250,000 to $500,000	$500 to $1,000	$50,000 to $100,000	2,500 - 4,999	$2,000 to $5,000	$25,000 to $50,000
711	715	$50,000 to $100,000	$5,000 to $10,000	51-67 161st St	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	NaN	10451	NaN	NaN	29	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	59	50 to 99	$2,742,000	$2.5-5 Million	$10,000 to $25,000	$50,000 to $100,000	Unknown	$25,000 to $50,000	$500,000 to $1 Million	$2,500 to $5,000	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
712	716	$50,000 to $100,000	$5,000 to $10,000	5765 Broadway	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	Kingsbridge	10463	4144.0	NaN	37	Mc Donald's	$2,500 to $5,000	$10,000 to $50,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	65	50 to 99	$3,021,000	$2.5-5 Million	$10,000 to $25,000	$50,000 to $100,000	Lease	$25,000 to $50,000	$500,000 to $1 Million	$2,500 to $5,000	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
713	717	$20,000 to $50,000	$5,000 to $10,000	597-99 Grand Concourse	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	NaN	10451	NaN	NaN	12	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	40	20 to 49	$1,859,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
714	718	$20,000 to $50,000	$5,000 to $10,000	599 E Tremont Ave	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	East Tremont	10457	4727.0	NaN	14	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	40	20 to 49	$1,859,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
715	719	$50,000 to $100,000	$5,000 to $10,000	724 E 241st St	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	Wakefield	10470	1302.0	NaN	20	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	45	20 to 49	$2,091,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	$100,000 to $250,000	2,500 - 4,999	$5,000 to $20,000	$50,000 to $100,000
716	720	$20,000 to $50,000	$2,500 to $5,000	839 Westchester Ave	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	Woodstock	10455	1704.0	NaN	18	Mc Donald's	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202010	$1,000 to $2,500	30	20 to 49	$1,394,000	$1-2.5 Million	$5,000 to $10,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	Less than $10,000	2,500 - 4,999	$2,000 to $5,000	$2,000 to $5,000
717	721	$50,000 to $100,000	$5,000 to $10,000	86 E 167th St	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	Concourse	10452	8203.0	NaN	16	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	45	20 to 49	$2,091,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	Less than $10,000	2,500 - 4,999	$5,000 to $20,000	Less than $2,000
718	722	$20,000 to $50,000	$2,500 to $5,000	875 Garrison Ave	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	Hunts Point	10474	5305.0	NaN	31	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$1,000 to $2,500	35	20 to 49	$1,627,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$2,000 to $5,000	$2,000 to $5,000
719	723	$50,000 to $100,000	$5,000 to $10,000	925 Hunts Point Ave	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	NaN	10459	5190.0	NaN	4	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	45	20 to 49	$2,091,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	Less than $10,000	2,500 - 4,999	$5,000 to $20,000	$50,000 to $100,000

Overview

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